Obstacle Scenario

Obstacle scenario research focuses on enabling autonomous systems, such as robots and vehicles, to safely and efficiently navigate environments containing obstacles. Current efforts concentrate on developing robust perception models (e.g., multimodal foundational models, occlusion-aware methods) for obstacle detection and prediction, coupled with advanced path planning algorithms (e.g., model predictive control, control barrier functions, vector-based approaches) that ensure collision avoidance. These advancements are crucial for improving the reliability and safety of autonomous systems in various applications, from autonomous driving and aerial navigation to warehouse logistics and legged robotics.